Data Insight: Role of Quantitative and Qualitative Research, Correlation and Regression, Time Series in Research Study
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This report emphasizes the significance of data insight with support of various headings and academic styles. It covers the role of quantitative and qualitative research in modern marketing research, correlation and regression, and time series in research study. It also highlights issues surrounding analysis techniques and data collection for decision-making.
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DATA INSIGHT
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Table of Contents
INTRODUCTION...........................................................................................................................4
Role of quantitative research in modern marketing research......................................................4
Role of qualitative research in modern marketing research........................................................6
Correlation and regression and its usage.....................................................................................8
Time series in research study....................................................................................................13
Issues surrounding the analysis technique................................................................................15
Data collection and decision-making........................................................................................16
CONCLUSION..............................................................................................................................17
REFERENCES..............................................................................................................................18
INTRODUCTION...........................................................................................................................4
Role of quantitative research in modern marketing research......................................................4
Role of qualitative research in modern marketing research........................................................6
Correlation and regression and its usage.....................................................................................8
Time series in research study....................................................................................................13
Issues surrounding the analysis technique................................................................................15
Data collection and decision-making........................................................................................16
CONCLUSION..............................................................................................................................17
REFERENCES..............................................................................................................................18
INTRODUCTION
Data insight is defined as projecting the actual inherent aspect of the data and value
which reflect the actual interpretation associated with the data. This project is all about
projecting the significance of the data insight with support of various headings and academic
styles. Henceforth, report will emphasis over role of the quantitative research in modern
marketing research with support of key examples of the various approaches undertaken by the
scholar. The role of the qualitative research study in delivering the research project would also
comprises as a part of this study. All different ways that involve the use of correlation and
regression will also summarises under this project. Furthermore, the project will aim to project
about the time series the ways it is used by scholars in delivering the research reports will also
showcase as a part of this project. Critical analysis will also be done to project all the issues
associated with the various types and practices used to deliver the research reports. In the end
study will highlight all the clinical ways and approach that can support the scholar to entertain all
the key ways and approaches to collect all the required information for conducting the final study
or research.
Role of quantitative research in modern marketing research
Quantitative research is demonstrated as a fact that all such research that usage some kind
of quantitative form of data and information. This involves conducting the research with support
of the information collected in the quantitative format. The focus of the quantitative research
study is over quantifying the information in such manner that overall objectives and aim behind
the study conducted are meet. The emphasis under the quantitative research study is over testing
the emphasis formulated to conduct the final research project. This study is majorly focuses on
the fact that emphasis are created under this and while creating the emphasis the final aim and
objectives of the marketing research is kept in mind (D’Urso, De Giovanni and Massari, 2021).
Every research study require strong information and data that needed to collect so that overall
objectives of the study could be best meet by the company. The key emphasis of the quantitative
study is over collection of the numeric data or information that can support the final objectives of
the study conducted in the best way possible. Numeric data and information always guide the
scholar to collect the key fundamentals associated with the research study deliver and on the
basis of tge numeric information scholar get to analysis the whole information and deliver the
final research objectives. This further involve finding the patterns and average, make up the
Data insight is defined as projecting the actual inherent aspect of the data and value
which reflect the actual interpretation associated with the data. This project is all about
projecting the significance of the data insight with support of various headings and academic
styles. Henceforth, report will emphasis over role of the quantitative research in modern
marketing research with support of key examples of the various approaches undertaken by the
scholar. The role of the qualitative research study in delivering the research project would also
comprises as a part of this study. All different ways that involve the use of correlation and
regression will also summarises under this project. Furthermore, the project will aim to project
about the time series the ways it is used by scholars in delivering the research reports will also
showcase as a part of this project. Critical analysis will also be done to project all the issues
associated with the various types and practices used to deliver the research reports. In the end
study will highlight all the clinical ways and approach that can support the scholar to entertain all
the key ways and approaches to collect all the required information for conducting the final study
or research.
Role of quantitative research in modern marketing research
Quantitative research is demonstrated as a fact that all such research that usage some kind
of quantitative form of data and information. This involves conducting the research with support
of the information collected in the quantitative format. The focus of the quantitative research
study is over quantifying the information in such manner that overall objectives and aim behind
the study conducted are meet. The emphasis under the quantitative research study is over testing
the emphasis formulated to conduct the final research project. This study is majorly focuses on
the fact that emphasis are created under this and while creating the emphasis the final aim and
objectives of the marketing research is kept in mind (D’Urso, De Giovanni and Massari, 2021).
Every research study require strong information and data that needed to collect so that overall
objectives of the study could be best meet by the company. The key emphasis of the quantitative
study is over collection of the numeric data or information that can support the final objectives of
the study conducted in the best way possible. Numeric data and information always guide the
scholar to collect the key fundamentals associated with the research study deliver and on the
basis of tge numeric information scholar get to analysis the whole information and deliver the
final research objectives. This further involve finding the patterns and average, make up the
predictions, test casual relationship and generalize the results to wider population. The final aim
of the quantitative study is that the information collected under this is under the numeric format.
When the information or data in statistical format this is not easy to misunderstand the
information misplace the information by using it in a wrong manner. The advantage of the
quantitative study is that is provided a clear understanding of the information that further allow
the scholar to formulate the clear understanding of the research study conducted. The major
focus of the quantitative research is over analysing the numeric form of information and data.
The key benefit of the quantitative study is due to its features related to data collection.
Information collected and generated under this study is specific and indicate the accurate results
in favour of the study conducted (da Silva And et.al., 2020). The findings of the study is all
based on the quality of information collected and further the interpretations that are made against
collecting the information or data. Numeric form of data is easy to interpret as it do not mislead
the scholar for identifying the final research objectives of the study. This is further easy to
compare the outcome with other research aspects in case if its is required for the scholar to do so.
The quantitative research involve descriptive research, correlation research and
experimental research study to be conducted by the scholar. All these involve the collection of
statistical form of information and data and also to use it further by interpreting the information
as per the research aim and objectives are formulated by the scholar. Research over marketing of
the organisation require the use of numeric form of data and information as it in evolve
performance related records, resource utilisation related records, comparison with other
competitors of the organisation and such like records that are all statistical in nature (Deb and
et.al., 2017bst the study conducted. This further support in justifying all; the key finds of the
study conducted. In the end of every study conducted recommendation are also provided that
focuses over the challenges identified against the study conducted. Quantitative study allow the
scholar to precisely identify all the key recommendations and suggestions that can be used to
achieve better results in future.
Questionnaire
Q.1) Do you feel marketing campaign of company is effective enough to attract new customers?
ď‚· Yes
ď‚· No
Q.2) Do you feel the company's marketing campaign is more dynamic as compare to other key
of the quantitative study is that the information collected under this is under the numeric format.
When the information or data in statistical format this is not easy to misunderstand the
information misplace the information by using it in a wrong manner. The advantage of the
quantitative study is that is provided a clear understanding of the information that further allow
the scholar to formulate the clear understanding of the research study conducted. The major
focus of the quantitative research is over analysing the numeric form of information and data.
The key benefit of the quantitative study is due to its features related to data collection.
Information collected and generated under this study is specific and indicate the accurate results
in favour of the study conducted (da Silva And et.al., 2020). The findings of the study is all
based on the quality of information collected and further the interpretations that are made against
collecting the information or data. Numeric form of data is easy to interpret as it do not mislead
the scholar for identifying the final research objectives of the study. This is further easy to
compare the outcome with other research aspects in case if its is required for the scholar to do so.
The quantitative research involve descriptive research, correlation research and
experimental research study to be conducted by the scholar. All these involve the collection of
statistical form of information and data and also to use it further by interpreting the information
as per the research aim and objectives are formulated by the scholar. Research over marketing of
the organisation require the use of numeric form of data and information as it in evolve
performance related records, resource utilisation related records, comparison with other
competitors of the organisation and such like records that are all statistical in nature (Deb and
et.al., 2017bst the study conducted. This further support in justifying all; the key finds of the
study conducted. In the end of every study conducted recommendation are also provided that
focuses over the challenges identified against the study conducted. Quantitative study allow the
scholar to precisely identify all the key recommendations and suggestions that can be used to
achieve better results in future.
Questionnaire
Q.1) Do you feel marketing campaign of company is effective enough to attract new customers?
ď‚· Yes
ď‚· No
Q.2) Do you feel the company's marketing campaign is more dynamic as compare to other key
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competitors in respective target market?
ď‚· Strongly agree
ď‚· Agree
ď‚· Neutral
ď‚· Disagree
ď‚· Strongly disagree
The above stated certain questions are denoted the examples of the questionnaire design.
This clearly indicate how the questionnaire is design by the scholars.
Role of qualitative research in modern marketing research
Qualitative research is defined as the study conducted with support of information
summarises in qualitative form. This is a practice involve taking the idealistic approach to
commodity the study. This study is more like using the idealistic approach to conduct the study.
This study is further concluded the individual beliefs, assumptions, mentality, understanding and
such like theoretical perspectives of the individual son which the entire study is based upon. This
study or research is very significant in context to achieving the overall objectives of the research
study is conducted (Du and et.al., 2020). The quantitative study is well suitable for the scholar to
easily identify the key findings against the study conducted. All types of theoretical level of
knowledge and understanding and information is collected about the topic of study and based on
that this is about to make formulation assumptions about the study conducted.
Qualitative study is one of the core type of research study deliver by the scholar. This is
more like approaching the entire study with support of different theories, models, approaches and
various other elements that can provide a conclusive detail about the study that is conducted. Te
marketing research involve the use of various information about the theories related to marketing
activity that is conducted, models that can be used to implement the marketing activity or to
perform the marketing functions, various studios about the advantage of the topic and the
challenges associated with the respective practice are cover under the study conducted (Hadi and
et.al.., 2019). Quality study type is one of the core practice of study entertained by the scholar
that support the researcher to collect the proper information over the topic of stud conducted. In
context to the research study conducted qualitative study has its own importance. This study
support the scholar to collect the most suitable information and records about the area of study
ď‚· Strongly agree
ď‚· Agree
ď‚· Neutral
ď‚· Disagree
ď‚· Strongly disagree
The above stated certain questions are denoted the examples of the questionnaire design.
This clearly indicate how the questionnaire is design by the scholars.
Role of qualitative research in modern marketing research
Qualitative research is defined as the study conducted with support of information
summarises in qualitative form. This is a practice involve taking the idealistic approach to
commodity the study. This study is more like using the idealistic approach to conduct the study.
This study is further concluded the individual beliefs, assumptions, mentality, understanding and
such like theoretical perspectives of the individual son which the entire study is based upon. This
study or research is very significant in context to achieving the overall objectives of the research
study is conducted (Du and et.al., 2020). The quantitative study is well suitable for the scholar to
easily identify the key findings against the study conducted. All types of theoretical level of
knowledge and understanding and information is collected about the topic of study and based on
that this is about to make formulation assumptions about the study conducted.
Qualitative study is one of the core type of research study deliver by the scholar. This is
more like approaching the entire study with support of different theories, models, approaches and
various other elements that can provide a conclusive detail about the study that is conducted. Te
marketing research involve the use of various information about the theories related to marketing
activity that is conducted, models that can be used to implement the marketing activity or to
perform the marketing functions, various studios about the advantage of the topic and the
challenges associated with the respective practice are cover under the study conducted (Hadi and
et.al.., 2019). Quality study type is one of the core practice of study entertained by the scholar
that support the researcher to collect the proper information over the topic of stud conducted. In
context to the research study conducted qualitative study has its own importance. This study
support the scholar to collect the most suitable information and records about the area of study
conducted. Especially in context to the study area that require theoretical form of information
and perspectives that is conducted this study type support scholar approaching the research in the
best way possible.
The questionnaire of the qualitative research study include the different questions
comprises with qualitative features involve theoretical perspectives related questions, beliefs
related questions, methods and such like questions are used. In context to the marketing related
study this research type allow the scholar to generate the best possible results against the
research study conducted (Hair Jr, Howard and Nitzl, 2020). This is important for the scholar
that marketing require various form and type of theoretical information and knowledge that is
only collected with support of the qualitative study type. Further this research type also consume
certain statistical data and information that can guide the scholar to create a sufficient level of
information over the study area. This is essential fact related to the research that it involve both
the type of information one is the theoretical information and the other one is the statistical data
and information. The use of both the type of information make this study type more feasible in
respect to the marketing research entertained by the scholar.
The key feature of this research type is that it involve both the types of aspects and
perspectives such as statistical data at some level and along with that it also involve theoretical
form of information and knowledge about the subject area. The study area is very favourable in
context to the marketing study as it cover all areas and aspects related tp the research conducted
by the scholar (Hallingberg and et.al., 2020). Data collection is one of the core aspect related to
every type of study that is conducted by the scholar and this study type support and favour the
scholar to collect the information precisely to favour the overall objectives of the study that is
conducted by the scholar.
Q) What method of marketing is used by the company?
ď‚· Digital marketing
ď‚· Social media marketing
ď‚· Traditional marketing
ď‚· All the above
Q) Do you agree that marketing is one of the core approach support company to achieve
business objectives?
ď‚· Strongly agree
and perspectives that is conducted this study type support scholar approaching the research in the
best way possible.
The questionnaire of the qualitative research study include the different questions
comprises with qualitative features involve theoretical perspectives related questions, beliefs
related questions, methods and such like questions are used. In context to the marketing related
study this research type allow the scholar to generate the best possible results against the
research study conducted (Hair Jr, Howard and Nitzl, 2020). This is important for the scholar
that marketing require various form and type of theoretical information and knowledge that is
only collected with support of the qualitative study type. Further this research type also consume
certain statistical data and information that can guide the scholar to create a sufficient level of
information over the study area. This is essential fact related to the research that it involve both
the type of information one is the theoretical information and the other one is the statistical data
and information. The use of both the type of information make this study type more feasible in
respect to the marketing research entertained by the scholar.
The key feature of this research type is that it involve both the types of aspects and
perspectives such as statistical data at some level and along with that it also involve theoretical
form of information and knowledge about the subject area. The study area is very favourable in
context to the marketing study as it cover all areas and aspects related tp the research conducted
by the scholar (Hallingberg and et.al., 2020). Data collection is one of the core aspect related to
every type of study that is conducted by the scholar and this study type support and favour the
scholar to collect the information precisely to favour the overall objectives of the study that is
conducted by the scholar.
Q) What method of marketing is used by the company?
ď‚· Digital marketing
ď‚· Social media marketing
ď‚· Traditional marketing
ď‚· All the above
Q) Do you agree that marketing is one of the core approach support company to achieve
business objectives?
ď‚· Strongly agree
ď‚· Agree
ď‚· Neutral
ď‚· Disagree
ď‚· Strongly disagree
Correlation and regression and its usage
Correlation the name itself indicate the fact that this demonstrate the inter relationship in
between variables used and identified. The role of correlation analysis is about to feature the
inter relationship in between different variable associated with the research study that is
conducted by the scholar. The role of the correlation is more like emphasizing over setting up the
relationship between the two or more variables that are belonged to the study that is conducted
by the scholar (Jang and Lee, 2017). IN context to the research study that is conducted this
analysis play a huge role as it is important to know whether the different variables contain any
relationship in between or not. This is important for the scholar to set up the inter relationship
and connectivity in between the different variables that can support the scholar to achieve the
final objectives of the study that is conducted. Correlation is an important term used in the
studies that is conducted by the scholar which demonstrate the fact that two or more variables
identified again st the study that is conducted so this is essential to know whether those two
identified factors or variables are connected with each other or not (Kumar, Jain and Singh,
2021). The correlation analysis has given a clear emphasis over analysing about the connectivity
or relationship between the certain variable associated with the study conducted. For example
different variables such as marketing or promotion of company and the success of the business of
the organisation contain relationship. This will be identified with support of correlation analysis
of the study.
Regression analysis on the other hand is a part of study conducted. This involves
identifying the potential impact of the variable over the other respective variable. This is next
step used after implementing the correlation where the connectivity between the variables ate
already established. This is about to identify what are the different variables that create an impact
over each other. This entire analysis is more like estimating the level of impact contain by one
variable over the other. The role of this entire projection of the assessment is in respect to the
fact that how effectively one variable do influence the other variable in the respect to the
ď‚· Neutral
ď‚· Disagree
ď‚· Strongly disagree
Correlation and regression and its usage
Correlation the name itself indicate the fact that this demonstrate the inter relationship in
between variables used and identified. The role of correlation analysis is about to feature the
inter relationship in between different variable associated with the research study that is
conducted by the scholar. The role of the correlation is more like emphasizing over setting up the
relationship between the two or more variables that are belonged to the study that is conducted
by the scholar (Jang and Lee, 2017). IN context to the research study that is conducted this
analysis play a huge role as it is important to know whether the different variables contain any
relationship in between or not. This is important for the scholar to set up the inter relationship
and connectivity in between the different variables that can support the scholar to achieve the
final objectives of the study that is conducted. Correlation is an important term used in the
studies that is conducted by the scholar which demonstrate the fact that two or more variables
identified again st the study that is conducted so this is essential to know whether those two
identified factors or variables are connected with each other or not (Kumar, Jain and Singh,
2021). The correlation analysis has given a clear emphasis over analysing about the connectivity
or relationship between the certain variable associated with the study conducted. For example
different variables such as marketing or promotion of company and the success of the business of
the organisation contain relationship. This will be identified with support of correlation analysis
of the study.
Regression analysis on the other hand is a part of study conducted. This involves
identifying the potential impact of the variable over the other respective variable. This is next
step used after implementing the correlation where the connectivity between the variables ate
already established. This is about to identify what are the different variables that create an impact
over each other. This entire analysis is more like estimating the level of impact contain by one
variable over the other. The role of this entire projection of the assessment is in respect to the
fact that how effectively one variable do influence the other variable in the respect to the
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research study that is conducted (Liu, Kim and Choe, 2019). This entire evaluation is more like
emphasising the study area that involve projection of different records and factors that create an
impact over each other. In context to the research study over marketing this is identified that
regression analysis would be used in respect to the variables like profitability and growth of
company. Marketing campaign and the profitability of the business and such like elements would
contain the regression analysis. This is also essential for this analysis that variable must hold
some level of connection between each other in respect to this analysis and assessment.
Use of both the type of research tools are very essential in formulating the key strategic
direction about the study that is conducted by the scholar. The use of correlation and regression
is over the SPSS tool used by the scholars (Lorenzo and Olivas, 2019). This is essential for the
researcher to utilise this tool specially when it comes to the quantitative study is conducted. In
respect to the qualitative study this tool also used to demonstrate the inter connectivity between
the different variables. The role of this analysis is very significant for the scholar to derive the
outcome of the study in the best way possible.
Example
emphasising the study area that involve projection of different records and factors that create an
impact over each other. In context to the research study over marketing this is identified that
regression analysis would be used in respect to the variables like profitability and growth of
company. Marketing campaign and the profitability of the business and such like elements would
contain the regression analysis. This is also essential for this analysis that variable must hold
some level of connection between each other in respect to this analysis and assessment.
Use of both the type of research tools are very essential in formulating the key strategic
direction about the study that is conducted by the scholar. The use of correlation and regression
is over the SPSS tool used by the scholars (Lorenzo and Olivas, 2019). This is essential for the
researcher to utilise this tool specially when it comes to the quantitative study is conducted. In
respect to the qualitative study this tool also used to demonstrate the inter connectivity between
the different variables. The role of this analysis is very significant for the scholar to derive the
outcome of the study in the best way possible.
Example
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Time series in research study
Time series is an important technique that is used in conducting the research study. This
involves studying the particular subject over the certain period of time. Time series the name
itself indicate or demonstrate about the fact that this is a study of the topic that contain some
quality time. This involves studying the topic contain some large potential or portion of time
about the study area. This further involve covering the study over a regular time interval. Many
times the research require to be done over the study area that continue for the certain time period.
Time series is a concept that precisely involve the use of information for the respective time
frame or it is conducted in a regular time interval (Maleki and et.al., 2020). This study is more
like a statistical methodology. The role of time series is to experiment over the data collected at
different point of time. This is an important element or feature of the time series that it studies in
different time intervals. The role of time series in collecting the data and information to conduct
a research study. The scholar identifies the time frame in which the information and data is
needed to collect by the scholar. On the basis of the needs and requirements of the research study
scholar collect the data and information under the practice of time series. Many times in respect
to the research study data is relevant only of a specific time interval. Time series is a method find
effective in context to such researches contain relevancy while collecting the information and
data.
Time series like a movement of the results or a data point in a respective time interval.
This is majorly demonstrated the time factor associated while collecting the information and
data. Role of time series is majorly for collecting the required information or a data which can
Time series is an important technique that is used in conducting the research study. This
involves studying the particular subject over the certain period of time. Time series the name
itself indicate or demonstrate about the fact that this is a study of the topic that contain some
quality time. This involves studying the topic contain some large potential or portion of time
about the study area. This further involve covering the study over a regular time interval. Many
times the research require to be done over the study area that continue for the certain time period.
Time series is a concept that precisely involve the use of information for the respective time
frame or it is conducted in a regular time interval (Maleki and et.al., 2020). This study is more
like a statistical methodology. The role of time series is to experiment over the data collected at
different point of time. This is an important element or feature of the time series that it studies in
different time intervals. The role of time series in collecting the data and information to conduct
a research study. The scholar identifies the time frame in which the information and data is
needed to collect by the scholar. On the basis of the needs and requirements of the research study
scholar collect the data and information under the practice of time series. Many times in respect
to the research study data is relevant only of a specific time interval. Time series is a method find
effective in context to such researches contain relevancy while collecting the information and
data.
Time series like a movement of the results or a data point in a respective time interval.
This is majorly demonstrated the time factor associated while collecting the information and
data. Role of time series is majorly for collecting the required information or a data which can
channelise the overall research outcome in the best way possible. Under this practice sample is
collected over a respective period of time. In context to the time series scholar measure what are
the key factors affect and influence the variables. The analysis of the time series demonstrate the
fact that how certain variables changes over a period of time. This evaluation measure the
activity of data in context to time interval (Pal and Prakash, 2017). In respect to the marketing
research this is important to measure the movement of the data and outcome of the campaign in
context to time interval. This make it significant for the scholar that for a marketing professional.
The movement of the marketing campaign is all design on the basis of the outcome entertain
against the marketing activity channelises. This technique usage both fundamental and technical
level of analysis for the outcomes that are generated. The cross-sectional data is seen as opposite
of the time series. Both the elements' usage simultaneously with each other in the time series
tactic is adopted.
In context to the marketing research the role of the time series is very crucial. This entire
technique support the scholar to generate the potential information for approaching the entire
study. This is important for the scholar to ensure the use of right method or technique that can
favour the scholar in approaching the overall study in the best way possible (Salles and et.al.,
2019). This become necessary for the scholar to ensure the best use of data and information for
interacting the overall study in such a way that overall objectives can be meet behind the study
conducted. Regular monitoring become essential for the scholar to drive in respect to the time
series especially for regulating the data and information under the research study. The final
outcome of any study is highly influenced with the quality of information and data that is
collected by scholar and the technique or method of time series is very essential and supportive
enough to deliver the appropriate data and information to support the research objectives.
Example of time series data
collected over a respective period of time. In context to the time series scholar measure what are
the key factors affect and influence the variables. The analysis of the time series demonstrate the
fact that how certain variables changes over a period of time. This evaluation measure the
activity of data in context to time interval (Pal and Prakash, 2017). In respect to the marketing
research this is important to measure the movement of the data and outcome of the campaign in
context to time interval. This make it significant for the scholar that for a marketing professional.
The movement of the marketing campaign is all design on the basis of the outcome entertain
against the marketing activity channelises. This technique usage both fundamental and technical
level of analysis for the outcomes that are generated. The cross-sectional data is seen as opposite
of the time series. Both the elements' usage simultaneously with each other in the time series
tactic is adopted.
In context to the marketing research the role of the time series is very crucial. This entire
technique support the scholar to generate the potential information for approaching the entire
study. This is important for the scholar to ensure the use of right method or technique that can
favour the scholar in approaching the overall study in the best way possible (Salles and et.al.,
2019). This become necessary for the scholar to ensure the best use of data and information for
interacting the overall study in such a way that overall objectives can be meet behind the study
conducted. Regular monitoring become essential for the scholar to drive in respect to the time
series especially for regulating the data and information under the research study. The final
outcome of any study is highly influenced with the quality of information and data that is
collected by scholar and the technique or method of time series is very essential and supportive
enough to deliver the appropriate data and information to support the research objectives.
Example of time series data
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The above demonstrated example indicate how the time series data is recorded and used.
This clearly indicate the ways time series function is use by the scholar for approaching the
entire study.
Issues surrounding the analysis technique
When it comes to conduct the research study with support of data interpreting the whole
information in the right strategic manner play an important role for the scholar. This is essential
for the researcher to approach the whole study in the most effective manner. The data collection
and interpretation is among the ley practice that support the scholar to approach the final
objectives of study in the best way possible. In context to the research study issue is majorly
related to interpreting the information in the exact manner. This become necessary for the
scholar to not only collect the right suitable information or data but also to interpret the same in
order to achieve final research objectives. Correlation and regression analysis is about to set the
relationship between different variables (Scarborough and et.al., 2020). This become a huge
This clearly indicate the ways time series function is use by the scholar for approaching the
entire study.
Issues surrounding the analysis technique
When it comes to conduct the research study with support of data interpreting the whole
information in the right strategic manner play an important role for the scholar. This is essential
for the researcher to approach the whole study in the most effective manner. The data collection
and interpretation is among the ley practice that support the scholar to approach the final
objectives of study in the best way possible. In context to the research study issue is majorly
related to interpreting the information in the exact manner. This become necessary for the
scholar to not only collect the right suitable information or data but also to interpret the same in
order to achieve final research objectives. Correlation and regression analysis is about to set the
relationship between different variables (Scarborough and et.al., 2020). This become a huge
challenge to actual identify whether the variables are interred connected with each other or not.
Many times certain factors or variables only seem to be connected but in actual practice situation
this is find in many cases that variables are not really connected directly. Many times such
elements are interred related due to the some hidden factor that create a relationship between the
variables. This is a major challenge for the scholar to actual determine the relatuionship in
between variables along with identifying the impacts these variables has on each other. The
success of the research study is all based on how effectively the data is being analysed and
supported the final research objectives. Correlation and regression is highly affected with the
core outcome achieved against interpreting the data and information as a scholar. Establishing
proper relationship and bond between the variables create a massive level of challenge over the
final research outcome entertain against the study is conducted.
The issue is also arises under setting up the impacts create by different variables. This is
important fact and aspect associated with the study that is conducted to identify the various
aspects and elements support the scholar to know all different issues arises to setting up the
impacts of the different variables. Many times there is not any conclusive evidence identify that
can demonstrate that the factors or variables contain impact over each other. Identifying the
potential or actual imp[act between the variables create a massive level of issue or challenge in
between different variables (Soloviev and Belinskiy, 2018). Modern business decisions are
highly influenced with the factual details and factors that provide a right strategic direction to the
management. Research always provide a right strategic direction to the business houses.
Marketing study related outcome is always an important area of practice which support the
venture to drive the operations in a systematic way. Issues identified under the study would
direct the management to formulate the most suitable marketing activity that can ensure
mitigation of all different business objectives.
Data collection and decision-making
Data collection is channelises with support of two different techniques. The method
follow to collect the data and information involve primary technique of collecting the
information and secondary method of collection of data and information. Primary technique of
collecting the data and information is very suitable in context to the managerial decision-making
process. AS the scholar put the individual efforts in collecting the fresh information.
Questionnaire method or technique is adopted to collect the data and information in this practice
Many times certain factors or variables only seem to be connected but in actual practice situation
this is find in many cases that variables are not really connected directly. Many times such
elements are interred related due to the some hidden factor that create a relationship between the
variables. This is a major challenge for the scholar to actual determine the relatuionship in
between variables along with identifying the impacts these variables has on each other. The
success of the research study is all based on how effectively the data is being analysed and
supported the final research objectives. Correlation and regression is highly affected with the
core outcome achieved against interpreting the data and information as a scholar. Establishing
proper relationship and bond between the variables create a massive level of challenge over the
final research outcome entertain against the study is conducted.
The issue is also arises under setting up the impacts create by different variables. This is
important fact and aspect associated with the study that is conducted to identify the various
aspects and elements support the scholar to know all different issues arises to setting up the
impacts of the different variables. Many times there is not any conclusive evidence identify that
can demonstrate that the factors or variables contain impact over each other. Identifying the
potential or actual imp[act between the variables create a massive level of issue or challenge in
between different variables (Soloviev and Belinskiy, 2018). Modern business decisions are
highly influenced with the factual details and factors that provide a right strategic direction to the
management. Research always provide a right strategic direction to the business houses.
Marketing study related outcome is always an important area of practice which support the
venture to drive the operations in a systematic way. Issues identified under the study would
direct the management to formulate the most suitable marketing activity that can ensure
mitigation of all different business objectives.
Data collection and decision-making
Data collection is channelises with support of two different techniques. The method
follow to collect the data and information involve primary technique of collecting the
information and secondary method of collection of data and information. Primary technique of
collecting the data and information is very suitable in context to the managerial decision-making
process. AS the scholar put the individual efforts in collecting the fresh information.
Questionnaire method or technique is adopted to collect the data and information in this practice
(Taylor and Letham, 2018). This would include formulating different questions on the basis of
the aim and objectives set behind the study that is conducted by the scholar. The managerial
decision-making practice is highly based on the quality of data and information that is consumed
against delivering the research study. Primary data create more authenticity for the management
for taking business decisions as it is not collected through any source rather the scholar itself
collected the whole data and information.
Data in context to the business decision-making can be collected with support of the
secondary source of data collection. These are the resource that are already available for the
organisation to collect and take on the information. Secondary sources are the one that allow the
scholar to collect inforation over internet, website, books, journal, scholarly article and such like
sources. Published information is only used in this. Management takes huge support from the
secondary source of information in taking various decisions related to marketing campaigns and
all other areas of business operations (Valaskova and et.al., 2018). Business decision requires
strong basis to make such decisions. AS the secondary sources area already available and has
also played a key role in approaching the success against the information and data that is
collected this make it more significant for the management to take a support of these sources
when it comes to making the various business decisions.
CONCLUSION
Data collection is among the key part of conducting or delivering the entire study.
Information can be collected with the use of primary and secondary sources. Different tools and
techniques such as correlation, regression analysis and such like tactics can be used while
making all important business decisions with the use of data analysis tool. Every decision that
company make are strategically based on the data and information that is collected by the
scholar. Certain issues are also faced by the management while making all these decisions that
include authenticity of information, irrelevant information and such like issues which also
require to be dealt by the management when it comes to making any business decision.
the aim and objectives set behind the study that is conducted by the scholar. The managerial
decision-making practice is highly based on the quality of data and information that is consumed
against delivering the research study. Primary data create more authenticity for the management
for taking business decisions as it is not collected through any source rather the scholar itself
collected the whole data and information.
Data in context to the business decision-making can be collected with support of the
secondary source of data collection. These are the resource that are already available for the
organisation to collect and take on the information. Secondary sources are the one that allow the
scholar to collect inforation over internet, website, books, journal, scholarly article and such like
sources. Published information is only used in this. Management takes huge support from the
secondary source of information in taking various decisions related to marketing campaigns and
all other areas of business operations (Valaskova and et.al., 2018). Business decision requires
strong basis to make such decisions. AS the secondary sources area already available and has
also played a key role in approaching the success against the information and data that is
collected this make it more significant for the management to take a support of these sources
when it comes to making the various business decisions.
CONCLUSION
Data collection is among the key part of conducting or delivering the entire study.
Information can be collected with the use of primary and secondary sources. Different tools and
techniques such as correlation, regression analysis and such like tactics can be used while
making all important business decisions with the use of data analysis tool. Every decision that
company make are strategically based on the data and information that is collected by the
scholar. Certain issues are also faced by the management while making all these decisions that
include authenticity of information, irrelevant information and such like issues which also
require to be dealt by the management when it comes to making any business decision.
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REFERENCES
Books and Journals
D’Urso, P., De Giovanni, L. and Massari, R., 2021. Trimmed fuzzy clustering of financial time
series based on dynamic time warping. Annals of operations research. 299(1). pp.1379-
1395.
da Silva, R. G. And et.al., 2020. Forecasting Brazilian and American COVID-19 cases based on
artificial intelligence coupled with climatic exogenous variables. Chaos, Solitons &
Fractals, 139. p.110027.
Deb, C. and et.al., 2017. A review on time series forecasting techniques for building energy
consumption. Renewable and Sustainable Energy Reviews. 74. pp.902-924.
Du, S. and et.al., 2020. Multivariate time series forecasting via attention-based encoder–decoder
framework. Neurocomputing. 388. pp.269-279.
Hadi, A. and et.al.., 2019. Interactions of short-term and long-term interest rates in Malaysian
debt markets: application of error correction model and wavelet analysis. Asian Acad
Manag J, 24. pp.19-31.
Hair Jr, J. F., Howard, M. C. and Nitzl, C., 2020. Assessing measurement model quality in PLS-
SEM using confirmatory composite analysis. Journal of Business Research, 109.
pp.101-110.
Hallingberg, B. and et.al., 2020. Have e-cigarettes renormalised or displaced youth smoking?
Results of a segmented regression analysis of repeated cross sectional survey data in
England, Scotland and Wales. Tobacco control. 29(2). pp.207-216.
Jang, H. and Lee, J., 2017. An empirical study on modeling and prediction of bitcoin prices with
bayesian neural networks based on blockchain information. Ieee Access, 6. pp.5427-
5437.
Kumar, G., Jain, S. and Singh, U. P., 2021. Stock market forecasting using computational
intelligence: A survey. Archives of Computational Methods in Engineering, 28(3).
pp.1069-1101.
Books and Journals
D’Urso, P., De Giovanni, L. and Massari, R., 2021. Trimmed fuzzy clustering of financial time
series based on dynamic time warping. Annals of operations research. 299(1). pp.1379-
1395.
da Silva, R. G. And et.al., 2020. Forecasting Brazilian and American COVID-19 cases based on
artificial intelligence coupled with climatic exogenous variables. Chaos, Solitons &
Fractals, 139. p.110027.
Deb, C. and et.al., 2017. A review on time series forecasting techniques for building energy
consumption. Renewable and Sustainable Energy Reviews. 74. pp.902-924.
Du, S. and et.al., 2020. Multivariate time series forecasting via attention-based encoder–decoder
framework. Neurocomputing. 388. pp.269-279.
Hadi, A. and et.al.., 2019. Interactions of short-term and long-term interest rates in Malaysian
debt markets: application of error correction model and wavelet analysis. Asian Acad
Manag J, 24. pp.19-31.
Hair Jr, J. F., Howard, M. C. and Nitzl, C., 2020. Assessing measurement model quality in PLS-
SEM using confirmatory composite analysis. Journal of Business Research, 109.
pp.101-110.
Hallingberg, B. and et.al., 2020. Have e-cigarettes renormalised or displaced youth smoking?
Results of a segmented regression analysis of repeated cross sectional survey data in
England, Scotland and Wales. Tobacco control. 29(2). pp.207-216.
Jang, H. and Lee, J., 2017. An empirical study on modeling and prediction of bitcoin prices with
bayesian neural networks based on blockchain information. Ieee Access, 6. pp.5427-
5437.
Kumar, G., Jain, S. and Singh, U. P., 2021. Stock market forecasting using computational
intelligence: A survey. Archives of Computational Methods in Engineering, 28(3).
pp.1069-1101.
Liu, H., Kim, H. and Choe, J., 2019. Export diversification, CO 2 emissions and EKC: panel data
analysis of 125 countries. Asia-Pacific Journal of Regional Science. 3(2). pp.361-393.
Lorenzo, A. and Olivas, J. A., 2019. Some considerations on the use of ai techniques for
prediction and forecasting in political elections and stock market. In Proceedings on the
International Conference on Artificial Intelligence (ICAI) (pp. 403-407). The Steering
Committee of The World Congress in Computer Science, Computer Engineering and
Applied Computing (WorldComp).
Maleki, M. and et.al., 2020. Time series modelling to forecast the confirmed and recovered cases
of COVID-19. Travel medicine and infectious disease. 37. p.101742.
Pal, A. and Prakash, P. K. S., 2017. Practical time series analysis: master time series data
processing, visualization, and modeling using python. Packt Publishing Ltd.
Salles, R. and et.al., 2019. Nonstationary time series transformation methods: An experimental
review. Knowledge-Based Systems. 164. pp.274-291.
Scarborough, P. and et.al., 2020. Impact of the announcement and implementation of the UK
Soft Drinks Industry Levy on sugar content, price, product size and number of available
soft drinks in the UK, 2015-19: A controlled interrupted time series analysis. PLoS
medicine. 17(2). p.e1003025.
Soloviev, V. N. and Belinskiy, A., 2018, May. Complex systems theory and crashes of
cryptocurrency market. In International Conference on Information and Communication
Technologies in Education, Research, and Industrial Applications (pp. 276-297).
Springer, Cham.
Taylor, S. J. and Letham, B., 2018. Forecasting at scale. The American Statistician. 72(1). pp.37-
45.
Valaskova, K. and et.al., 2018. Financial risk measurement and prediction modelling for
sustainable development of business entities using regression
analysis. Sustainability. 10(7). p.2144.
analysis of 125 countries. Asia-Pacific Journal of Regional Science. 3(2). pp.361-393.
Lorenzo, A. and Olivas, J. A., 2019. Some considerations on the use of ai techniques for
prediction and forecasting in political elections and stock market. In Proceedings on the
International Conference on Artificial Intelligence (ICAI) (pp. 403-407). The Steering
Committee of The World Congress in Computer Science, Computer Engineering and
Applied Computing (WorldComp).
Maleki, M. and et.al., 2020. Time series modelling to forecast the confirmed and recovered cases
of COVID-19. Travel medicine and infectious disease. 37. p.101742.
Pal, A. and Prakash, P. K. S., 2017. Practical time series analysis: master time series data
processing, visualization, and modeling using python. Packt Publishing Ltd.
Salles, R. and et.al., 2019. Nonstationary time series transformation methods: An experimental
review. Knowledge-Based Systems. 164. pp.274-291.
Scarborough, P. and et.al., 2020. Impact of the announcement and implementation of the UK
Soft Drinks Industry Levy on sugar content, price, product size and number of available
soft drinks in the UK, 2015-19: A controlled interrupted time series analysis. PLoS
medicine. 17(2). p.e1003025.
Soloviev, V. N. and Belinskiy, A., 2018, May. Complex systems theory and crashes of
cryptocurrency market. In International Conference on Information and Communication
Technologies in Education, Research, and Industrial Applications (pp. 276-297).
Springer, Cham.
Taylor, S. J. and Letham, B., 2018. Forecasting at scale. The American Statistician. 72(1). pp.37-
45.
Valaskova, K. and et.al., 2018. Financial risk measurement and prediction modelling for
sustainable development of business entities using regression
analysis. Sustainability. 10(7). p.2144.
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